
General course information is here. 
The teaching schedule is as follows.


Lectures  every Tuesday and Friday, 11 am  1 pm, from 3 October to 12 December

Review Sessions  every Friday, 1 pm  2 pm

Venue  Gatsby Unit room 409, 4th floor Alexandra House, 17 Queen Square London WC1N 3AR 

The main course book is
Theoretical Neuroscience by Dayan and Abbott. The appendix
of the book describes the maths needed for the course. If you need to brush up on mathematics, one recommended book is Riley,
Hobson and Bence: Mathematical Methods for Physicists. For a very simple intro to first order ODE's, see Hugh Wilson: spikes,
decisions and actions, chapters 1 and 2. A few very useful cribsheets are
basic maths you'll need for this course, and some matrix identities.
You might also be interested in the Gatsby neuroscience journal club.

Below is a schedule of the review sessions (updated before every review session). The homework assignments can be downloaded from here. The section "reading" lists background reading material and is (usually) not meant as compulsory.
Date   Reading  Assignment 
1310  review session 1 biophysics Hodgkin & Huxley etc 
Dayan and Abbott, chapter 5 Hodgkin & Huxley, '52 (the pioneering paper on channel modeling) lecture slides 
homework 1 
2710  review session 2 biophysics cable equation, synapses 
Dayan and Abbott, chapter 6 for the keen: Koch (1999) ch. 25 
homework 2 hwk2data.mat 
0311  review session 3 neural encoding 
lecture slides (1) lecture slides (2) Dayan and Abbott, chapters 12 
homework 3 
1011  review session 4 neural decoding 
lecture slides Dayan and Abbott, chapter 3
Population codes 
homework 4 
1711  review session 5 information theory 
Dayan and Abbott, chapter 4 lecture slides 
homework 5 
2411  review session 6 dynamics 
Dayan and Abbott, chapter 7

homework 6 
0112  review session 7 dynamics and vision 
Dayan and Abbott, chapter 7 Theoretical understanding of the early visual processes 
homework 7 
0812  review session 8 Hebbian learning and vision 
Dayan and Abbott, chapter 8 lecture slides 1 (Hebbian learning)
lecture slides 2 (vision)
lecture slides 3 (vision)

homework 8 
1512  review session 9 reinforcement learning 
Dayan and Abbott, chapter 9 lecture slides (1)
lecture slides (2)

homework 9 


